Traffic signal control agent interaction model based on game theory and reinforcement learning

IFCSTA 2009 Proceedings - 2009 International Forum on Computer Science-Technology and Applications

Volumn 1, Issue , 2009, Pages 164-168

  Xia, Xinhai ^a,b   Xu, Lunhui ^a  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b Guangzhou Marine College   (China)

Author keywords

Agent; Game theory; Interaction; Intersection; Reinforcement learning

Indexed keywords

ACTION SELECTION; CO-ORDINATED CONTROL; DISTRIBUTED Q-LEARNING; HUMAN SOCIETY; INTERACTION; INTERACTION MODEL; INTERACTIVE FRAMES; LEARNING APPROACH; MANAGEMENT AGENTS; MATHEMATICAL TOOLS; Q-LEARNING; Q-VALUES; STRUCTURE MODELS; TRAFFIC SIGNAL CONTROL; TRAFFIC-CONTROL SIMULATION; URBAN AREAS; WEIGHT FUNCTIONS;

COMPUTER SCIENCE; FUNCTION EVALUATION; LEARNING ALGORITHMS; MATHEMATICAL MODELS; MULTI AGENT SYSTEMS; REINFORCEMENT; REINFORCEMENT LEARNING; RESEARCH; TRAFFIC SIGNALS;

GAME THEORY;

EID: 77949834091     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IFCSTA.2009.47     Document Type: Conference Paper

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